Hong Qin
机构: Professor of Statistics, Zhongnan University of Economics and Law, Wuhan, China
每年引用次数
引用次数
引用: 1,669
H-指数: 21
I10-指数 : 49
出版物: 138
Theory and Application of Uniform Experimental Designs
Min-Qian Liu , Kai-Tai Fang , Hong Qin , Yong-Dao Zhou
101
2018
Corrected Bayesian information criterion for stochastic block models
Hong Qin , Yunpeng Zhao , Jianwei Hu , Ting Yan
arXiv: Methodology
39
2016
A novel method for constructing mixed two- and three-level uniform factorials with large run sizes
Hongyi Li , Xingyou Huang , Hong Qin , Huili Xue
Statistical Papers 1 -15
2021
R-optimal two-level supersaturated designs
Kashinath Chatterjee , Zujun Ou , Hong Qin , Hong Qin
Statistics 1 -16
2021
Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters
Ting Yan , Yunpeng Zhao , Hong Qin
Journal of Multivariate Analysis 133 61 -76
21
2015
Asymptotics in undirected random graph models parameterized by the strengths of vertices
Ting Yan , Hong Qin , Hansheng Wang
Statistica Sinica
17
2016
Characterization of admissible linear estimators in the growth curve model with respect to inequality constraints
Shangli Zhang , Zhide Fang , Hong Qin , Litao Han
Journal of the Korean Statistical Society 40 ( 2) 173 -179
4
2011
An efficient methodology for constructing optimal foldover designs in terms of mixture discrepancy
A.M. Elsawah , Hong Qin
Journal of The Korean Statistical Society 45 ( 1) 77 -88
13
2016
Minimum projection uniformity for computer experiment with quantitative factors
Tingxun Gou , Hong Qin , Kashinath Chatterjee
Journal of The Korean Statistical Society 47 ( 2) 216 -225
2018
An effective approach for the optimum addition of runs to three-level uniform designs
A.M. Elsawah , Hong Qin
Journal of The Korean Statistical Society 45 ( 4) 610 -622
4
2016
Designs for Searching two Two-Factor and One Three-Factor Interaction Effect Under the Tree Structure
Hong Qin , Angshuman Sarkar , Kashinath Chatterjee
Calcutta Statistical Association Bulletin 65 13 -24
2013
Discrete Discrepancy and Its Application in Experimental Design
Min-Qian Liu , Hong Qin , Min-Yu Xie ,
Contemporary Multivariate Analysis and Design of Experiments 227 -241
8
2005
A new look at discrete discrepancy
Kashinath Chatterjee , Hong Qin
Statistics & Probability Letters 78 ( 17) 2988 -2991
2
2008
A note on Lee discrepancy
Na Zou , Ping Ren , Hong Qin
Statistics & Probability Letters 79 ( 4) 496 -500
9
2009
Some applications of indicator function in two-level factorial designs
Zujun Ou , Hong Qin
Statistics & Probability Letters 80 ( 1) 19 -25
12
2010
Some results on generalized minimum aberration for symmetrical fractional factorial designs
Hong Qin , Yin-Bao Chen
Statistics & Probability Letters 66 ( 1) 51 -57
4
2004
Minimum projection uniformity criterion and its application
Shangli Zhang , Hong Qin
Statistics & Probability Letters 76 ( 6) 634 -640
19
2006
A note on optimal foldover four-level factorials
A. M. Elsawah , M. A. Al-Awady , M. A. Abd Elgawad , Hong Qin
Acta Mathematica Sinica 32 ( 3) 286 -296
6
2016
A note on lower bound of centered L 2 -discrepancy on combined designs
Yi Ju Lei , Zu Jun Ou , Hong Qin , Na Zou
Acta Mathematica Sinica 28 ( 4) 793 -800
15
2012
Generalized projection discrepancy and its applications in experimental designs
Hong Qin , Kashinath Chatterjee , Narayanaswamy Balakrishnan
Metrika 79 ( 1) 19 -35
2
2016